All current Machine Learning Courses courses in 2024
1795 कोर्स
Google Cloud Product Fundamentals en Français
Google Cloud Product Fundamentals en Français
Ce cours, qui s'appuie sur le cours Business Transformation with Google Cloud, vous fait découvrir les technologies qui peuvent contribuer à la transformation d'une organisation. Plus précisément, nous expliquerons comment une organisation peut réussir sa transformation numérique grâce à la technol.
【世界で55万人が受講】データサイエンティストを目指すあなたへ〜データサイエンス25時間ブートキャンプ〜
【世界で55万人が受講】データサイエンティストを目指すあなたへ〜データサイエンス25時間ブートキャンプ〜
機械学習・ディープラーニング・人工知能に関するビジネス上の課題を、回帰分析・ニューラルネットワーク・K平均法等を使って解いていきます。python、jupyter、numpy、pandas、tensorflow等のスキルも身に付きます。
カテゴリ:人工知能コース, Pythonコース, 機械学.
Deep Learning, Neuronale Netze und TensorFlow in Python
Deep Learning, Neuronale Netze und TensorFlow in Python
Werde zum Deep Learning Experten: Mathematik & Praxis für Neural Networks mit Keras. [2024 Edition]
University: University
Provider: Udemy
Categories: Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, TensorFlow Courses, Image Recogni.
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español
Este programa le proporciona las habilidades que necesita para impulsar su carrera de ingeniería de datos y le ofrece una ruta para obtener la certificación Google Cloud Professional Data Engineer, reconocida en la industria.
Gracias a una combinación de presentaciones, demostraciones y labs, podrá tomar decisiones basadas en datos mediante.
The Complete Artificial Intelligence and ChatGPT Course
The Complete Artificial Intelligence and ChatGPT Course
The Complete Artificial Intelligence and ChatGPT Course
Includes ChatGPT Alternatives Google Bard & Bing Chat, Machine Learning, Images with DALL-E & Midjourney, Voice & More.
University:
Provider: Udemy
Categories: Artificial Intelligence Cour.
Unleashing Innovation: The Generative AI Revolution
Unleashing Innovation: The Generative AI Revolution
We find ourselves in a society where the line between what is created by humans, and what is created by machines, is increasingly blurred. Generative AI has been a turning point in how we create, design, and interact with technology. But how does it work, what are the benefits beyond novelty and.
Machine Learning for Music Information Retrieval
An introduction to data mining through the lens of music information retrieval. Topics explored include classification (genre, mood, instrument), multi-label classification (tagging), and regression (emotion/mood).
University: Provider: Kadenze
Categories: Machine Learning Courses, Data Mining Courses, Regression Analysis Courses
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Course Title: Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Description: This course aims to teach learners about the applications of Transformers in audio, speech, and music. The learning outcomes include und.
Stanford Seminar - Can the Brain Do Back-Propagation?
Stanford Seminar - Can the Brain Do Back-Propagation?
This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning.
Students will learn about the.
Bayesian Networks 1 - Inference - Stanford CS221: AI
Bayesian Networks 1 - Inference - Stanford CS221: AI
The course teaches students how to specify joint distributions compactly using Bayesian networks and factor graphs. It covers probabilistic inference, explaining away, consistency of sub-Bayesian networks, and applications such as medical diagnosis, language modeling, object tracking, multiple.
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
This course aims to educate learners on the importance of accessibility in the context of artificial intelligence. The learning outcomes include understanding human-computer interaction, challenging ability assumptions, designing for users with disabil.
Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud
University: Stanford University
Provider: YouTube
Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses
This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distribu.